Robust Decision-Making for Digital Supply Chain Transformation Using a q-Rung Orthopair Fuzzy OrdPA-MARCOS Framework

Robust Decision-Making for Digital Supply Chain Transformation Using a q-Rung Orthopair Fuzzy OrdPA-MARCOS Framework | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Robust Decision-Making for Digital Supply Chain Transformation Using a q-Rung Orthopair Fuzzy OrdPA-MARCOS Framework Muhammad Shahid, Muhammad Tahir Tahir This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9315612/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract This paper proposes a hybrid decision-making framework for assessing the Digital Supply Chain (DSC) in uncertain situations using the Ordinal Priority Approach (OrdPA) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) model in a q-Rung Orthopair Fuzzy Set (q-ROFS) context. The OrdPA-q-ROF-MARCOS model utilizes \textit{q-ROFS} to adjust expert hesitancy, weight criteria using ordinal preferences, and rank alternatives using compromise solutions. The framework's robustness is shown by its consistent ranking of five essential DSC elements with different q values ($q=1,2,3,4,5$) in sensitivity analysis.The proposed model proves its superiority and validity by (1) demonstrating perfect rank stability across q-parameter variations, Dombi parameter adjustments, and criteria weight perturbations, and (2) achieving identical ranking convergence compared to q-ROF-TOPSIS, q-ROF-VIKOR, and q-ROF-COPRAS. The proposed framework eliminates rank reversal, lowers parameter sensitivity, and provides e.g. The results show that blockchain is the most essential aspect, followed by data integration, cybersecurity, IoT implementation, and AI/analytics. The work advances fuzzy decision-making theory and provides realistic supply chain digital transformation planning help. Digital Supply Chain q-Rung Orthopair Fuzzy Sets MCDM Decision Support Uncertainty Modeling Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 19 May, 2026 Reviews received at journal 12 May, 2026 Reviews received at journal 05 May, 2026 Reviews received at journal 11 Apr, 2026 Reviewers agreed at journal 10 Apr, 2026 Reviewers agreed at journal 09 Apr, 2026 Reviewers agreed at journal 09 Apr, 2026 Reviewers agreed at journal 09 Apr, 2026 Reviewers invited by journal 08 Apr, 2026 Editor assigned by journal 07 Apr, 2026 Submission checks completed at journal 04 Apr, 2026 First submitted to journal 03 Apr, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9315612","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":621294431,"identity":"950d1421-2f7b-4675-9543-47318abcbffa","order_by":0,"name":"Muhammad Shahid","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/klEQVRIiWNgGAWjYBACNgh1gMGAmcHgwIcKGyCHsfEAsVoMH844kwbS0oBXCwNcCwODsTFvy2EoFw/gEzv78HPBnzvy5uzM2yRnNpy3W9t+GGhLjU00TodJpxtLz2x7Zrizma1M4uOO28nbziQCtRxLy23AqSWNQZq34TDjhsM8ZpIzz9xONjsA1MLYcBifFubfPH8O24O0SPO2nUs2O/+QoBY2aR62w4lALUDvtx2wM7tB2BY2a962w8kbDrMVAgM5OcHsBtCWBDx+kZ+dxnwb6DDbDecPbwBGpZ292fn0hw8+1Njg1IIBEsEqE4hVDgL2pCgeBaNgFIyCkQEAK51mz5emPCUAAAAASUVORK5CYII=","orcid":"","institution":"University of Southern Punjab","correspondingAuthor":true,"prefix":"","firstName":"Muhammad","middleName":"","lastName":"Shahid","suffix":""},{"id":621294432,"identity":"21c36a4d-ec09-46c4-86de-cff8f6a5345c","order_by":1,"name":"Muhammad Tahir Tahir","email":"","orcid":"","institution":"Gomal University","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"Tahir","lastName":"Tahir","suffix":""}],"badges":[],"createdAt":"2026-04-03 18:38:38","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9315612/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9315612/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107481824,"identity":"a91fa939-448f-43b9-b814-42ca17ce0450","added_by":"auto","created_at":"2026-04-22 02:20:19","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":368434,"visible":true,"origin":"","legend":"","description":"","filename":"FinalVersionBSPM.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9315612/v1_covered_da55a42d-d2e0-4d48-9291-f5cfe1d15c54.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Robust Decision-Making for Digital Supply Chain Transformation Using a q-Rung Orthopair Fuzzy OrdPA-MARCOS Framework","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"international-journal-of-machine-learning-and-cybernetics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jmlc","sideBox":"Learn more about [International Journal of Machine Learning and Cybernetics](http://actavetscand.biomedcentral.com/)","snPcode":"13042","submissionUrl":"https://submission.nature.com/new-submission/13042/3","title":"International Journal of Machine Learning and Cybernetics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Digital Supply Chain, q-Rung Orthopair Fuzzy Sets, MCDM, Decision Support, Uncertainty Modeling","lastPublishedDoi":"10.21203/rs.3.rs-9315612/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9315612/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper proposes a hybrid decision-making framework for assessing the Digital Supply Chain (DSC) in uncertain situations using the Ordinal Priority Approach (OrdPA) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) model in a q-Rung Orthopair Fuzzy Set (q-ROFS) context. 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